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  1. 1161
    “…To assess the resection margins with hyperspectral imaging, a classification model should be developed, which requires a dataset with accurate ground-truth labels. Since it is difficult to establish such a dataset, we introduced a novel approach based on hyperspectral unmixing to enable an accurate correlation between hyperspectral measurements and histology ground-truth labels. …”
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    Tissue Classification of Breast Cancer by Hyperspectral Unmixing
  2. 1162
    “…However, these algorithms need training over significant amount of ground truth data. In the context of biomedical applications, collecting ground truth data, particularly at the personalized level is challenging, burdensome, and in some cases infeasible. …”
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    Physics-informed neural networks for modeling physiological time series for cuffless blood pressure estimation
  3. 1163
    “…The performance of the DL and baseline models was compared based on correlations between ground truth and predicted VF measures and mean absolute error (MAE; ground truth – predicted values). …”
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    Prediction of Central Visual Field Measures From Macular OCT Volume Scans With Deep Learning
  4. 1164
    “…RESULTS: The average angle error between the WPA SRP and the ground truth was 1.66 ± 0.81°, which was smaller than that between the PA SRP and the ground truth. …”
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    A novel method for 3D face symmetry reference plane based on weighted Procrustes analysis algorithm
  5. 1165
    “…Three experienced radiologists determined the ground truth by marking the pixels as hemorrhage area. We utilized the Dice and intra-class correlation coefficients (ICC) to test the reliability of the ground truth. …”
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    Deep Network for the Automatic Segmentation and Quantification of Intracranial Hemorrhage on CT
  6. 1166
    “…The error was measured as the distance between the planned target and the ground truth core center and as the shortest perpendicular distance between the planned target and the ground truth trajectory of the whole core. …”
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    Initial phantom studies for an office-based low-field MR system for prostate biopsy
  7. 1167
    “…The WET estimates from SECT deviated from MLIC ground truth approximately +11%–19%, which would result in overpenetration if used clinically. …”
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    Accuracy of proton stopping power estimation of silicone breast implants with single and dual‐energy CT calibration techniques
  8. 1168
    “…Numbers of training and ground truth images applied were small and the accuracies of which were low or inconsistent. …”
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    Deep-Learning-Based Cerebral Artery Semantic Segmentation in Neurosurgical Operating Microscope Vision Using Indocyanine Green Fluorescence Videoangiography
  9. 1169
    “…To improve the ground truth, we describe a preprocessing data clean-up process using two communicators that were generated through existing and new datasets. …”
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    Communicator-Driven Data Preprocessing Improves Deep Transfer Learning of Histopathological Prediction of Pancreatic Ductal Adenocarcinoma
  10. 1170
    “…The positions of FMs and tumors in each 4D CT phase image were determined using 10 DIR algorithms, and the deformed results were compared with ground-truth data. Results: The target registration errors (TREs) between the FM positions estimated by optical flow algorithms and the ground-truth ranged from 1.82 ± 1.05 to 1.98 ± 1.17 mm, which is within the uncertainty of the ground-truth position. …”
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    Performance Evaluation of Deformable Image Registration Algorithms Using Computed Tomography of Multiple Lung Metastases
  11. 1171
    “…However, the performance of these algorithms depends on the quality of the ground-truth information, which expert readers usually provide. …”
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    Breast Dense Tissue Segmentation with Noisy Labels: A Hybrid Threshold-Based and Mask-Based Approach
  12. 1172
    por Marée, Raphaël
    Publicado 2017
    “…Effective pattern recognition requires carefully designed ground-truth datasets. In this technical note, we first summarize potential data collection issues in digital pathology and then propose guidelines to build more realistic ground-truth datasets and to control their quality. …”
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    The Need for Careful Data Collection for Pattern Recognition in Digital Pathology
  13. 1173
    “…Thirteen healthy young and thirteen healthy older adults wore the IMU during walking and the ground truth of the inclination angles (IA) of the center of pressure to the center of mass vector and their rates of changes (RCIA) were measured simultaneously. …”
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    Recurrent Neural Network Methods for Extracting Dynamic Balance Variables during Gait from a Single Inertial Measurement Unit
  14. 1174
    “…BACKGROUND: We present a biosegmentation benchmark that includes infrastructure, datasets with associated ground truth, and validation methods for biological image analysis. …”
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    A biosegmentation benchmark for evaluation of bioimage analysis methods
  15. 1175
    “…Random error is deviation from the ‘truth’ and happens due to play of chance (e.g. trials with small sample, etc.). …”
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    Critical appraisal skills are essential to informed decision-making
  16. 1176
    por Herbert, Cornelia, Kübler, Andrea
    Publicado 2011
    “…Amplitudes of both brain potentials varied as a function of the truth value of the negated expressions. Results were confirmed at the single-subject level. …”
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    Dogs Cannot Bark: Event-Related Brain Responses to True and False Negated Statements as Indicators of Higher-Order Conscious Processing
  17. 1177
    “…We tested this hypothesis by instructing participants to lie or tell the truth under conditions of high and low working memory (WM) load. …”
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    Right inferior frontal gyrus activation as a neural marker of successful lying
  18. 1178
    “…An alternative to manually created ground-truth data is to generate synthetic images where the ground truth is known. …”
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    Simulation of bright-field microscopy images depicting pap-smear specimen
  19. 1179
    “…We will also discuss the implications these results have for the truth-based vs. polarity-based taxonomy.…”
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    Is there a universal answering strategy for rejecting negative propositions? Typological evidence on the use of prosody and gesture
  20. 1180
    “…Third, we validated the results using ground truth data. Our results indicate that the common name queries provided a reasonable number of tweets that were related to the ground truth data. …”
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    Limits of use of social media for monitoring biosecurity events
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